Exam 4: Logical Database Design and the Relational Model
Exam 1: The Database Environment and Development Process119 Questions
Exam 2: Modeling Data in the Organization102 Questions
Exam 3: The Enhanced E-R Model102 Questions
Exam 4: Logical Database Design and the Relational Model101 Questions
Exam 5: Introduction to SQL102 Questions
Exam 6: Advanced SQL95 Questions
Exam 7: Databases in Applications93 Questions
Exam 8: Physical Database Design and Database Infrastructure167 Questions
Exam 9: Data Warehousing and Data Integration150 Questions
Exam 10: Big Data Technologies69 Questions
Exam 11: Analytics and Its Implications32 Questions
Exam 12: Data and Database Administration With Focus on Data Quality66 Questions
Exam 13: Distributed Databases100 Questions
Exam 14: Object-Oriented Data Modeling104 Questions
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An attribute in a relation of a database that serves as the primary key of another relation in the same database is called a:
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When transforming a weak entity, one should create one relation with both the attributes of the strong entity and the attributes of the weak entity.
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Discuss why it is a good idea to create an instance of your relational schema with sample data.
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A foreign key is a primary key of a relation that also is a primary key in another relation.
(True/False)
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Discuss the two major occasions when you benefit from using normalization.
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A co-dependency is a constraint between two attributes or two sets of attributes.
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A candidate key is an attribute, or combination of attributes, that uniquely identifies a row in a relation.
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A primary key is an attribute that uniquely identifies each row in a relation.
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An attribute that may have more than one meaning is called a(n):
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The normal form which removes any remaining functional dependencies because there was more than one primary key for the same nonkeys is called:
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The need to ________ relations commonly occurs when different views need to be integrated.
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A relation that contains minimal redundancy and allows easy use is considered to be:
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Discuss the two possible scenarios when mapping an associative entity.
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Data structures include data organized in the form of tables with rows and columns.
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